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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">ellibs</journal-id><journal-title-group><journal-title xml:lang="ru">Электронные библиотеки</journal-title><trans-title-group xml:lang="en"><trans-title>Russian Digital Libraries Journal</trans-title></trans-title-group></journal-title-group><issn pub-type="epub">1562-5419</issn><publisher><publisher-name>Казанский (Приволжский) федеральный университет</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">ellibs-54</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>Статьи</subject></subj-group></article-categories><title-group><article-title>Результаты исследований по обнаружению заимствований с использованием анализа цитирований</article-title><trans-title-group xml:lang="en"><trans-title>Study results for the detection of matching content using citation analysis</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Гуреев</surname><given-names>В. Н.</given-names></name></name-alternatives><email xlink:type="simple">gureyevvn@ipgg.sbras.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Мазов</surname><given-names>Н. А.</given-names></name></name-alternatives><email xlink:type="simple">mazovna@ipgg.sbras.ru</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff xml:lang="ru" id="aff-1"><institution>Институт нефтегазовой геологии и геофизики им. А.А. Трофимука СО РАН</institution><country>Russian Federation</country></aff><aff xml:lang="ru" id="aff-2"><institution>Государственная публичная научно-техническая библиотека СО РАН</institution><country>Russian Federation</country></aff><pub-date pub-type="collection"><year>2017</year></pub-date><pub-date pub-type="epub"><day>28</day><month>10</month><year>2017</year></pub-date><volume>20</volume><issue>5</issue><fpage>322</fpage><lpage>331</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Гуреев В.Н., Мазов Н.А., 2017</copyright-statement><copyright-year>2017</copyright-year><copyright-holder xml:lang="ru">Гуреев В.Н., Мазов Н.А.</copyright-holder><copyright-holder xml:lang="en">Гуреев В.Н., Мазов Н.А.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://ellibs.elpub.ru/jour/article/view/54">https://ellibs.elpub.ru/jour/article/view/54</self-uri><abstract><p>Переводной плагиат как одна из наиболее распространенных в научном информационном пространстве разновидностей плагиата представляет собой трудноразрешимую проблему, поскольку практически не поддается автоматизированному выявлению. Между тем за последние пять лет в этом направлении наблюдается прогресс. Авторами настоящей работы, а также группой зарубежных исследователей из нескольких университетов независимо друг от друга был предложен подход к выявлению плагиата на основе анализа цитирований, при котором для анализируемой подозрительной публикации находится возможный первоисточник с идентичным или схожим списком цитируемой литературы, что в итоге позволяет сличать текст на разных языках. Разработанная методика обнаружения неправомерных заимствований в научных текстах успешно прошла тестовые исследования. В статье приведены результаты четырехлетних исследований.
</p></abstract><trans-abstract xml:lang="en"><p>Translated plagiarism has widely spread in a scientific world and posed a serious problem due to the challenges in its automatic detection. However, in the last five years some progress has been observed in this area. The authors of this paper, as well as foreign research team from several universities independently of each other proposed an approach to detect plagiarism based on citation analysis with search of initial source for analyzed suspected paper with the same or similar references. Developed methods of detection of illegal use of borrowed text successfully passed several tests. The report shows the results that we have obtained in the last four years.
</p></trans-abstract><kwd-group xml:lang="ru"><kwd>обнаружение заимствований</kwd><kwd>переводной плагиат</kwd><kwd>выявление плагиата</kwd><kwd>анализ цитирования</kwd><kwd>база данных цитирований</kwd></kwd-group><kwd-group xml:lang="en"><kwd>detection of matching content</kwd><kwd>translated plagiarism</kwd><kwd>plagiarism detection</kwd><kwd>citation analysis</kwd><kwd>bibliographic database</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Mazov N.A., Gureev V.N., Kosyakov D.V. On the development of a plagiarism detection model based on citation analysis using a bibliographic database // Scientific and Technical Information Processing. 2016. V. 43, No 4. P. 236‒240.</mixed-citation><mixed-citation xml:lang="en">Mazov N.A., Gureev V.N., Kosyakov D.V. 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